Ultima actualización: 10/11/2020
| fecha | departamento | enCurso | cantCasosNuevos | cantFallecidos | acumFallecidos | cantRecuperados | acumRecuperados | acumCasos | |
|---|---|---|---|---|---|---|---|---|---|
| 0 | 2020-04-29 | Artigas(UY-AR) | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 1 | 2020-04-29 | Canelones(UY-CA) | 17 | 0 | 0 | 2 | 0 | 66 | 85 |
| 2 | 2020-04-29 | Cerro Largo(UY-CL) | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 3 | 2020-04-29 | Colonia(UY-CO) | 2 | 0 | 0 | 0 | 0 | 6 | 8 |
| 4 | 2020-04-29 | Durazno(UY-DU) | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 3785 | 2020-11-10 | San José(UY-SJ) | 3 | 0 | 0 | 0 | 0 | 59 | 62 |
| 3786 | 2020-11-10 | Soriano(UY-SO) | 4 | 0 | 0 | 1 | 0 | 13 | 18 |
| 3787 | 2020-11-10 | Tacuarembó(UY-TA) | 3 | 0 | 0 | 0 | 0 | 25 | 28 |
| 3788 | 2020-11-10 | Treinta y Tres(UY-TT) | 6 | 0 | 0 | 2 | 0 | 105 | 113 |
| 3789 | 2020-11-10 | Casos retornados | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3790 rows × 9 columns
| fecha | departamento | atributo | valor | |
|---|---|---|---|---|
| 0 | 2020-04-29 | Artigas(UY-AR) | enCurso | 0 |
| 1 | 2020-04-29 | Canelones(UY-CA) | enCurso | 17 |
| 2 | 2020-04-29 | Cerro Largo(UY-CL) | enCurso | 0 |
| 3 | 2020-04-29 | Colonia(UY-CO) | enCurso | 2 |
| 4 | 2020-04-29 | Durazno(UY-DU) | enCurso | 0 |
| ... | ... | ... | ... | ... |
| 7575 | 2020-11-10 | San José(UY-SJ) | cantCasosNuevos | 0 |
| 7576 | 2020-11-10 | Soriano(UY-SO) | cantCasosNuevos | 0 |
| 7577 | 2020-11-10 | Tacuarembó(UY-TA) | cantCasosNuevos | 0 |
| 7578 | 2020-11-10 | Treinta y Tres(UY-TT) | cantCasosNuevos | 0 |
| 7579 | 2020-11-10 | Casos retornados | cantCasosNuevos | 0 |
7580 rows × 4 columns
--------------------------------------------------------------------------- MaxRowsError Traceback (most recent call last) C:\Anaconda\lib\site-packages\altair\vegalite\v4\api.py in to_dict(self, *args, **kwargs) 361 copy = self.copy(deep=False) 362 original_data = getattr(copy, "data", Undefined) --> 363 copy.data = _prepare_data(original_data, context) 364 365 if original_data is not Undefined: C:\Anaconda\lib\site-packages\altair\vegalite\v4\api.py in _prepare_data(data, context) 82 # convert dataframes or objects with __geo_interface__ to dict 83 if isinstance(data, pd.DataFrame) or hasattr(data, "__geo_interface__"): ---> 84 data = _pipe(data, data_transformers.get()) 85 86 # convert string input to a URLData C:\Anaconda\lib\site-packages\toolz\functoolz.py in pipe(data, *funcs) 625 """ 626 for func in funcs: --> 627 data = func(data) 628 return data 629 C:\Anaconda\lib\site-packages\toolz\functoolz.py in __call__(self, *args, **kwargs) 301 def __call__(self, *args, **kwargs): 302 try: --> 303 return self._partial(*args, **kwargs) 304 except TypeError as exc: 305 if self._should_curry(args, kwargs, exc): C:\Anaconda\lib\site-packages\altair\vegalite\data.py in default_data_transformer(data, max_rows) 17 @curried.curry 18 def default_data_transformer(data, max_rows=5000): ---> 19 return curried.pipe(data, limit_rows(max_rows=max_rows), to_values) 20 21 C:\Anaconda\lib\site-packages\toolz\functoolz.py in pipe(data, *funcs) 625 """ 626 for func in funcs: --> 627 data = func(data) 628 return data 629 C:\Anaconda\lib\site-packages\toolz\functoolz.py in __call__(self, *args, **kwargs) 301 def __call__(self, *args, **kwargs): 302 try: --> 303 return self._partial(*args, **kwargs) 304 except TypeError as exc: 305 if self._should_curry(args, kwargs, exc): C:\Anaconda\lib\site-packages\altair\utils\data.py in limit_rows(data, max_rows) 82 "than the maximum allowed ({}). " 83 "For information on how to plot larger datasets " ---> 84 "in Altair, see the documentation".format(max_rows) 85 ) 86 return data MaxRowsError: The number of rows in your dataset is greater than the maximum allowed (5000). For information on how to plot larger datasets in Altair, see the documentation
alt.Chart(...)